Saccadic eye movements and how the brain avoids processing overload
News Jun 24, 2014
Research may have implications for understanding schizophrenia and attention deficit disorders
A Montana State University (MSU) assistant professor in neuroscience is part of a team that has made progress understanding how the brain processes visual information. In addition to adding to the basic understanding of brain function, the research may also have implications for understanding schizophrenia and attention deficit disorders.
MSU's Behrad Noudoost was a co-author with Marc Zirnsak and other neuroscientists from the Tirin Moore Lab at Stanford University in publishing a recent paper on the research in Nature.
Behrad Noudoost observes brain waves on monitors in his laboratory. Noudoost has linked how our eyes actually see the world to neurons in the prefrontal cortex of the brain. Credit: Kelly Gorham.
Noudoost and the team studied saccadic eye movements—those movements where the eye jumps from one point of focus to another—in an effort to determine exactly how this happens without us being overcome by our brains processing too much visual information.
To introduce the study, Noudoost first gets his audience to think about eye movements at the most basic level. "Look in the mirror and stare at one eye," Noudoost said. "Then look at the other eye. We are essentially blind during eye movement as we cannot see our eyes move, even though we know they did."
According to Noudoost, scientists have been trying to learn exactly how the brain processes these visual stimuli during saccadic eye movement and this research offers new evidence that the prefrontal cortex of the brain is responsible for visual stability.
"Visual stability is what keeps our vision stable in spite of changing input. It is similar to the stabilizer button on a video camera," Noudoost said.
"We wanted to know what causes the brain to filter out un-necessary information when we shift our vision from one focal target to another," Noudoost said. "Without that filter the visual information would overwhelm us."
According to the scientists, the study offers evidence neurons in the prefrontal cortex of the brain start processing information in anticipation of where we are going to look before we ever do it, suggesting that selective processing might be the mechanism for visual stability.
Noudoost said this new information can help scientists better understand the underlying causes of problems such as dyslexia and attention deficit disorders.
According to Frances Lefcort, the head of the Department of Cell Biology and Neuroscience, the team’s basic research may have implications for understanding a myriad of mental health issues.
"Schizophrenia and attention deficit disorders have been linked to visual stability, so the work Behrad is doing offers valuable knowledge to other scientists working in cognitive neuroscience," Lefcort said.
"Understanding how a healthy brain works is important in terms of knowing its impact on cognitive functions such as memory, learning and in this case attention," Noudoost said. "By exploring normal brain function, we can better understand what happens in someone with a mental illness."
Note: Material may have been edited for length and content. For further information, please contact the cited source.
Marc Zirnsak, Nicholas A. Steinmetz, Behrad Noudoost, Kitty Z. Xu, Tirin Moore. Visual space is compressed in prefrontal cortex before eye movements. nature, Published Online March 26 2014. doi: 10.1038/nature13149
Researchers Find a Way to Separate Side Effects of Opioid Drugs Reducing RiskNews
Scientists have discovered a way to separate these two effects -- pain relief and breathing, opening a window of opportunity to make effective pain medications without the risk of respiratory failure.READ MORE
Biological Mechanism of a Leading Cause of Childhood Blindness RevealedNews
Scientists have revealed the pathology of cells and structures stricken by optic nerve hypoplasia, a leading cause of childhood blindness in developed nations.READ MORE
Machine Learning: Helping Determine How a Drug Affects the BrainNews
Machine learning could improve our ability to determine whether a new drug works in the brain, potentially enabling researchers to detect drug effects that would be missed entirely by conventional statistical tests, finds a new UCL study published today in Brain.READ MORE